作者其他论文
文献详情
Identifying adverse drug events from health social media: A case study on heart disease discussion forums
文献类型:会议
作者:Liu, Xiao[1]  Liu, Jing[2]  Chen, Hsinchun[3]  
机构:[1]Artificial Intelligence Lab., University of Arizona, United States
[2]School of Management, Northwestern Polytechnical University, China
[3]Artificial Intelligence Lab., University of Arizona, United States
年:2014
会议名称:2nd International Conference for Smart Health, CSH 2014
页码范围:25-36
会议地点:Beijing, China
会议开始日期:2014-07-10
会议结束日期:2014-07-11
收录情况:EI(20143218040617)  
所属部门:管理学院
人气指数:701
浏览次数:689
语言:外文
摘要:
Health social media sites have emerged as major platforms for discussions of treatments and drug side effects, making them a promising source for listening to patients' voices in adverse drug event reporting. However, extracting patient adverse drug event reports from social media continues to be a challenge in health informatics research. To utilize the fertile health social media data for drug safety research, we develop advanced information extraction techniques for identifying adverse drug e ...More
0
评论(0 条评论)
登录